Slim Nim

Slim Nim — CS2 Stats

DK76561198192385605[U:1:232119877]Steam profile ↗✓ No bans

1,453Tracked matches64%Win rate2020Tracked since
2,847Hours in CS
CSDB Rating7.0 StrongPositional Player
Premier CS Rating21,825Pink band · top ~6.5% of ranked players (population est.)
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGSlim NimFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER21,825 · Pink bandcsdb.gg/stats

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Performance scores

Aim87
Positioning58
Utility52

0–100 skill scores via Leetify.

Recent form

HOT53–42–5Last 10053%Win rateLLWWWWWLWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +6.0pp headshot accuracy · +1ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 25%
  • Avg reaction 488ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 27%
  • Avg reaction 481ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 480ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.1 against its own average).

Aim8.7
Utility5.2
Positioning5.8
Opening Duels1.8
Clutch1.8

Sharp aimerStrong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ropz

Plays most like ropz 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 48% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.7
Positioning5.8
Utility5.2
Mechanics7.5
Opening Duels2.2
Win Impact9.8

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time505ms−26ms
first ⅓ avg 531ms → last ⅓ avg 505ms
Headshot accuracy22.0%+2.9%
first ⅓ avg 19.1% → last ⅓ avg 22.0%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.13Best match rating · 13–5 · mirage, 19 Feb →
50%Best headshot accuracy · 2–4 · italy, 6 Mar →
359msFastest reaction time · 7–13 · inferno, 17 Sept →
13–1Biggest win · mirage, 29 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
8–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 86% over 14cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeA169–756%0.02
mirageC167–944%0.02
ancientS1412–286%0.03
dust2C135–838%0.00
overpassC114–736%0.01
infernoA95–456%0.01
anubisS96–367%0.00
cacheD51–420%-0.01
train—43–175%0.00
eldorado—10–10%-0.17
debris—11–0100%-0.02
italy—10–10%-0.04

Across the last 100 tracked matches.

Lifetime stats

120,754Lifetime kills
0.98K/D
6,918Matches
45.4%Match win rate
41.2%Headshot %
14.6%Shot accuracy
15,067MVPs
2,847Hours (in match)
7,086Bombs planted
1,962Bombs defused

Most-used weapons

AK-4730,355
AWP18,716
SSG 083,221
Knife3,082
SG 5532,718
P902,390

Lifetime map wins

12,651inferno
9,544dust2
4,782nuke
3,932vertigo
2,280train
987cbble
907office
656assault

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,370Matches
53%Win rate
1.05Avg K/D
75.7ADR
42%Headshot %

Clutches & streaks

29%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage7051%0.8512.4
Ancient6456%0.9314.7
Nuke5151%0.9214.1
Anubis3956%1.0214.7
Vertigo3348%1.0715.4
Overpass2979%1.1915.8
Inferno2060%0.9414.0
Dust21258%0.8911.9

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.6%Headshot accuracy
34.6%Accuracy (enemy spotted)
40.2%Spray accuracy
83.9%Counter-strafing
8.0°Preaim
500msReaction time
26.7%T opening success
47.8%CT opening success
0.61Enemies flashed / flash
3.0%Flash assists
11.64HE damage / grenade
6.10Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 26.7367% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust29–130.0827%15 Nov →
cache9–130.0523%14 Nov →
nuke13–110.0924%14 Nov →
cache13–11-0.0033%14 Nov →
inferno13–60.0817%10 Nov →
ancient13–60.1035%10 Nov →
dust213–8-0.0033%10 Nov →
dust211–13-0.0033%10 Nov →
anubis13–110.0223%8 Nov →
anubis13–80.0218%8 Nov →
mirage5–13-0.0223%8 Nov →
dust213–40.0216%7 Nov →
mirage16–130.0620%6 Nov →
train12–12-0.0523%9 Oct →
ancient13–70.1223%8 Oct →
inferno7–13-0.0530%17 Sept →
ancient13–70.0328%28 Aug →
anubis13–110.0517%20 Aug →
anubis11–13-0.0210%17 Aug →
cache5–13-0.0315%16 Aug →
nuke13–11-0.0218%13 Aug →
nuke13–6-0.0424%10 Aug →
mirage2–13-0.0713%29 Jul →
anubis13–60.0315%27 Jul →
ancient13–90.0314%27 Jul →
dust215–15-0.0323%26 Jul →
nuke13–5-0.0511%26 Jul →
cache10–13-0.0223%26 Jul →
anubis13–8-0.0514%26 Jul →
eldorado6–9-0.1719%11 Jul →
debris9–6-0.0235%11 Jul →
anubis7–130.0517%29 Jun →
nuke5–130.1028%16 Jun →
anubis13–9-0.0626%12 Jun →
mirage6–13-0.0329%31 May →
cache6–13-0.0424%29 May →
mirage13–50.0124%29 May →
dust213–8-0.0222%27 May →
nuke15–150.0324%24 May →
inferno13–7-0.0229%24 May →
overpass5–13-0.0613%24 May →
nuke8–130.0621%20 May →
nuke6–13-0.0221%3 May →
ancient13–8-0.0214%3 May →
inferno13–50.0622%3 May →
nuke11–13-0.0218%26 Apr →
overpass2–13-0.0019%14 Apr →
mirage10–130.0025%13 Apr →
mirage13–70.0014%12 Apr →
inferno10–13-0.0233%9 Apr →
mirage4–13-0.0214%6 Apr →
ancient13–6-0.0117%5 Apr →
overpass10–13-0.009%5 Apr →
ancient13–50.0330%4 Apr →
nuke13–30.0421%4 Apr →
overpass10–130.0214%2 Apr →
overpass13–60.0311%1 Apr →
overpass16–120.0421%30 Mar →
inferno8–130.0024%30 Mar →
mirage13–10.0618%29 Mar →
ancient13–110.0020%29 Mar →
dust23–130.0112%29 Mar →
dust27–13-0.0026%29 Mar →
ancient13–8-0.0222%27 Mar →
mirage13–100.0126%25 Mar →
dust213–100.0029%22 Mar →
inferno13–90.0420%22 Mar →
dust29–130.0213%9 Mar →
overpass13–60.0515%9 Mar →
nuke16–13-0.0014%8 Mar →
italy2–4-0.0450%6 Mar →
anubis4–13-0.0423%27 Feb →
mirage13–100.1020%22 Feb →
overpass10–130.0125%19 Feb →
mirage13–50.1329%19 Feb →
ancient15–150.0731%31 Jan →
ancient13–90.0315%31 Jan →
overpass6–13-0.0120%28 Jan →
ancient13–70.0118%25 Jan →
nuke13–100.0512%18 Jan →
train13–30.038%18 Jan →
dust28–130.0223%17 Jan →
nuke13–60.0215%15 Jan →
mirage5–13-0.0113%15 Jan →
overpass6–13-0.0715%15 Jan →
ancient11–130.0216%13 Jan →
dust210–130.0118%13 Jan →
overpass13–70.0717%13 Jan →
nuke13–70.0715%13 Jan →
dust213–11-0.0918%13 Jan →
train13–10-0.0317%13 Jan →
mirage11–130.0619%11 Jan →
inferno13–10-0.0015%11 Jan →
nuke15–150.0320%10 Jan →
ancient13–11-0.0115%10 Jan →
inferno14–160.0119%10 Jan →
mirage13–16-0.0127%9 Jan →
mirage2–13-0.0123%9 Jan →
train13–80.0624%9 Jan →
nuke10–130.0011%9 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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